DocumentCode :
2375872
Title :
Performance of decision making: individuals and an environment
Author :
Kurabayashi, Daisuke ; Kushima, Taira ; Asama, Hajime
Author_Institution :
Tokyo Inst. of Technol., Japan
Volume :
3
fYear :
2002
fDate :
2002
Firstpage :
2831
Abstract :
In this paper, we focus on the procedure whereby an autonomous multiple robot system constructs feasible paths. We formulate optimal solutions in the following two cases; (i) a robot makes the decision by itself, (ii) an environment (or specific locations in an environment) gathers information and makes suggestions. We also propose learning algorithms for appropriate path construction in both cases. Then we discuss the efficiency of the two cases based on optimal solutions and learning results of simulations.
Keywords :
distributed decision making; learning (artificial intelligence); mobile robots; multi-robot systems; optimal control; path planning; autonomous multiple robot system; decision making performance; environment information gathering; environmental conditions; feasible paths; learning algorithms; optimal solutions; path construction; Autonomous agents; Broadcasting; Costs; Decision making; Insects; Interference; Iterative algorithms; Performance analysis; Robots; Transportation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems, 2002. IEEE/RSJ International Conference on
Print_ISBN :
0-7803-7398-7
Type :
conf
DOI :
10.1109/IRDS.2002.1041699
Filename :
1041699
Link To Document :
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